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Sr. Delivery Consultant - AI/ML, AWS Professional Services

Amazon

Seattle, WA

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Best Practices, Business Operations, Cloud Architecture, Cloud Computing, Communication Skills, Computer Services, Conferences, Consulting, Corporate Policies, Customer Relations, Customer Support/Service, Customer/Client Research, Data Analysis, Data Mining, Data Modeling, Diversity, Emerging Technology, Enterprise Computing, Federal Laws and Regulations, GPU (Graphics Processing Unit), Industry/Trade Analysis, MATLAB, Machine Learning, Maintain Compliance, Math Software, Mentoring, Migration Strategy, Network Security, People Management, Performance Tuning/Optimization, Pre-Sales, Problem Solving Skills, Professional Services, Project Lifecycle, Python Programming/Scripting Language, R Programming Language, Requirements Management, Risk Management, SQL (Structured Query Language), Sales/Support Engineering (SE), Scalable System Development, Scripting (Scripting Languages), Startup, State Laws and Regulations, Statistical Analysis System (SAS), Statistical Modeling, Statistics Software, Team Lead/Manager, Team Player, Technical Leadership, Technical Support
LOCATION
Seattle, WA
POSTED
3 days ago
Description Application deadline: May 18, 2026 The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced Senior AI/ML Consultant, you will be responsible for: Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS: Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience - 4+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - 3+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python) Preferred Qualifications - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience communicating technical concepts to diverse audiences in pre-sales environments - Experience building and operating a cloud-based architecture - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually USA, CO, Denver - 153,600.00 - 207,800.00 USD annually USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually

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Amazon

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